Thomas Dullien

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Thomas Dullien trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Charles Ruizhongtai Qi
  4. Yoshua Bengio
  5. Jimmy Ba
  6. Yann LeCun
  7. Moses Charikar
  8. Alex Krizhevsky
  9. Yujia Li
  10. Alan M. Frieze

Who trusts Thomas Dullien overall

  1. William L. Hamilton

Papers from Thomas Dullien's perspective

Ordered by how strongly the researchers Thomas Dullien trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers